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20182026
most citedUncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images

35 citations · 42 across the 21 of their papers we have counts for

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Showing 2021 · cs.CVShow all

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cs.CV2021

Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation

Esther Puyol-Anton, Bram Ruijsink, Stefan K. Piechnik +4

The subject of "fairness" in artificial intelligence (AI) refers to assessing AI algorithms for potential bias based on demographic characteristics such as race and gender, and the…